Senior Data Scientist - AI/ML

About the Department

The AI and Analytics Team is part of Novo Nordisk’s Data Science division, where we apply sophisticated algorithms and machine learning techniques to some of the hardest problems in the discovery and development of new healthcare solutions. By leveraging a blend of scientific, problem-solving, and quantitative skills, we provide superior data insights that empower Novo Nordisk to further develop and deliver life-changing treatments. We work in multidisciplinary teams with strong collaboration across all areas of the organization and engage in external collaborations to ensure access to cutting-edge research and technology.

We believe in the value of a diverse and inclusive culture. Together, we build and grow talent to ensure the development of new solutions. The team is comprised of collaborative, diverse, and passionate people who have a true sense of pride in their work. We are committed to helping each other grow, and we are driven by the opportunity to make a difference in the lives of people living with chronic diseases.

The Position

The Senior Data Scientist - AI/ML position contributes to the research team’s efforts towards exploring and innovating within our fields. As a Senior Data Scientist, you will bring elements of statistical machine learning to explore prognostic and predictive models toward various drug development objectives.

As a Senior Data Scientist you will:

• Apply relevant statistical, ML, and AI methods to solve complex challenges in the pharmaceutical development space
• Collaborate with other data scientists to design, code, train, test, and deploy various AI and machine learning solutions
• Evaluate algorithms and ML models for effectiveness and accuracy
• Implement and maintain local and cloud-based data and computational environments to integrate data and solutions from different sources
• Actively participate in cross-functional teams to develop multiple AI and ML solutions

The Senior Data Scientist AI/ML reports to the head of the related research area and will have a variety of internal and external stakeholders across US, Denmark and UK to understand challenges, identify areas of innovation, and build solutions using appropriate technologies.

Internal partners include data scientists, specialists, engineers, software developers, technology scouts & partnership developers, system engineers, designers, anthropologists, medical doctors, IT professionals, and others across US, Denmark, and UK. External relationships include commercial and academic collaboration partners.

You will have extensive collaboration with data scientists, engineers and scientists from other disciplines to complete daily tasks and to design and iterate on solutions.

This is a hybrid position with 2-3 days a week in the office in London.

Qualifications

A Ph.D. with a few years of relevant experience is preferred; a master’s degree with well-established experience will be considered. Degrees in biostatistics, computer science, molecular biology, computational biology, or a related quantitative discipline are preferred. Experience working collaboratively across multiple disciplines in a cloud environment/platform, ideally AWS, to drive innovation is also preferred.

Furthermore, you have hands-on experience in:

• Experience building machine learning/deep learning models
• Strong programming skills in python/R
• Knowledge of fundamental statistical models and methods
• Ability to perform in-depth data analysis and present results
• Knowledge of data visualization tools such as Shiny, Dash, Streamlit, MS Power BI, etc.
• Experience with version control, unit-testing, and deployment
• Experience with data integration and wrangling techniques.
• Work collaboratively across multiple disciplines to drive innovation

Ideally, you present knowledge of fundamental statistical models and methods. Having experience in the areas of causal inference, adversarial reinforcement learning, transfer and transudative learning, and knowledge graphs (Neo4j, OpenCypher) is preferred, as well as the ability to read and implement ideas or code from research papers.

Experience in building, reading, writing, & other complex operations and visualizations of graph databases, as well as knowledge in graph machine learning and experience in tools such as PyG and DGL is desired, too.

Working at Novo Nordisk

At Novo Nordisk, we don’t wait for change. We drive it. We’re a dynamic company in an even more dynamic industry, and we know that what got us to where we are today is not necessarily what will make us successful in the future. We embrace the spirit of experimentation, striving for excellence without fixating on perfection. We never shy away from opportunities to develop, we seize them. From research and development, through to manufacturing, marketing and sales – we’re all working to move the needle on patient care.

Contact

Please apply to the role via our online platform, as we don’t accept directly sent CVs.

If you have any questions, please contact Hrishikesh Karvir, Sr. Dir. AI & ML Sciences, at hkvr@novonordisk.com

Deadline

Apply before 10th January 2024.

The Talent Acquisition team will engage with applicants on an ongoing basis, and we reserve the right to fill the role before the deadline, so we encourage you to not hesitate, and apply!

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.

At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.